Artificial intelligence for diagnosis and prognosis prediction of natural killer/T cell lymphoma using magnetic resonance imaging-Reference-Cited by-同舟云学术

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Artificial intelligence for diagnosis and prognosis prediction of natural killer/T cell lymphoma using magnetic resonance imaging

Published:2024-05 Issue:5 Volume:5 Page:101551
ISSN:2666-3791
Container-title:Cell Reports Medicine
language:en
Short-container-title:Cell Reports Medicine

Author:

Zhang YuChen,Deng YiShu,Zou QiHua,Jing BingZhong,Cai PeiQiang,Tian XiaoPeng,Yang Yu,Li BingZong,Liu Fang,Li ZhiHua,Liu ZaiYi,Feng ShiTing,Peng TingSheng,Dong YuJun,Wang XinYan,Ruan GuangYing,He Yun,Cui ChunYan,Li Jiao,Luo Xiao,Huang HuiQiang,Chen HaoHua,Li SongQi,Sun Ying,Xie ChuanMiao,Wang Liang,Li ChaoFeng,Cai QingQing^ORCID

Funder

Chinese Society of Clinical Oncology

Sun Yat-Sen University

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Xisike Clinical Oncology Research Foundation

Ministry of Science and Technology of the People's Republic of China

Guangzhou Science and Technology Program Key Projects

Publisher

Elsevier BV

Reference41 articles.

1. EBV-associated NK and T-cell lymphoid neoplasms;Kimura;Curr. Opin. Oncol.,2022

2. Clinical heterogeneity of extranodal NK/T-cell lymphoma, nasal type: a national survey of the Korean Cancer Study Group;Kim;Ann. Oncol.,2008

3. WHO Classification of Head and Neck Tumours;El-Naggar;WHO Classification of Tumours,2017

4. Epstein-Barr Virus-Positive Natural Killer/T-Cell Lymphoma;Cai;Front. Oncol.,2019

5. Nasopharyngeal carcinoma;Chen;Lancet (London, England),2019

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